video-editing

原文涵盖的主题

• Video Editing
• When to Activate
• Core Thesis
• The Pipeline
• Layer 1: Capture (Screen Studio / Raw Footage)
• Layer 2: Organization (Claude / Codex)
• Layer 3: Deterministic Cuts (FFmpeg)
• Extract segment by timestamp

AI-assisted editing for real footage. Not generation from prompts. Editing existing video fast. User wants to edit, cut, or structure video footage Turning long recordings into short-form content Building vlogs, tutorials, or demo videos from raw capture Adding overlays, subtitles, music, or voiceover to existing video Reframing video for different platforms (YouTube, TikTok, Instagram) User says "edit video", "cut this footage", "make a vlog", or "video workflow" AI video editing is useful when you stop asking it to create the whole video and start using it to compress, structure, and augment real footage. The value is not generation. The value is compression. Each layer has a specific job. Do not skip layers. Do not try to make one tool do everything. Collect the source material: Screen Studio: polished screen recordings for app demos, coding sessions, browser workflows Raw camera footage: vlog footage, interviews, event recordings Desktop capture via VideoDB: session recording with real-time context (see videodb skill) Output: raw files ready for organization. Use Claude Code or Codex to: Transcribe and label: generate transcript, identify topics and themes Plan structure: decid

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